A dual route in explaining health outcomes in natural disaster
Bibliographic record
Abstract
Human beings seem to be resilient and have a great capacity to overcome adverse circumstances. One apparent variable that may predict people’s emotional and physical health after a trauma is their general level of psychological well-being (McMillen, Smith, & Fisher, 1997). The current study explores the role of subjective vitality and the perception of stress as mediators between general life satisfaction and post-trauma physiological and psychological health related to the Canadian 1998 Ice Storm. Results of this dual route indicate that satisfaction with life positively predicted subjective vitality and negatively predicted perceived stress. In turn, subjective vitality lead to lower levels of ill-health, whereas perception of stress lead to higher levels of physical symptoms and depression. Disasters long have been defined in terms of physical agents and their consequences, and have been seen as situations causing threat to life, injury, sudden destruction, and loss of life and property (Bonnie, 1991). A disaster differs from a traumatic event in that it threatens or actually impacts an entire community. It may cover a wide area, disrupting communications, transportation, and the infrastructure of services that normally would respond to crises (Bissell, Becker, & Burkle, 1996), making it difficult for emergency agencies to determine what needs to be done, how to get there, and how to do it. Although some disasters involve injury and loss of life, there can be disasters that involve neither. An incident that disrupts normal community life and that takes away essential services is a disaster, whether or not 1The first author thanks his supervisors, Céline M. Blanchard and Luc G. Pelletier, whose expertise, guidance, and support contributed greatly to the project. In addition, special thanks
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".